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[42530] Artykuł: Monitoring and Prediction of Time Series Based on Fuzzy Cognitive Maps with Multi-step Gradient MethodsCzasopismo: Advances in Intelligent Systems and Computing Tom: 350, Strony: 197-206ISSN: 2194-5357 ISBN: 978-3-319-15796-2 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2015 Seria wydawnicza: Advances in Intelligent Systems and Computing Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 15 Klasyfikacja Web of Science: Proceedings Paper ![]() ![]() ![]() Keywords: fuzzy cognitive map  multi-steps algorithms  gradient method  Markov model of gradient  monitor system  time series prediction  |
Fuzzy cognitive map FCM is a useful tool for modeling systems for time series monitoring and prediction in various fields. This paper is devoted to the analysis of the application of FCM with multi-step learning algorithms based on gradient method and Markov model of gradient for multivariate time series monitoring and prediction. Real data from a monitor system mounted in a domotic house were used in learning and testing process. The comparative analysis of two-step method of Markov model of gradient, multi-step gradient method and one-step gradient method from the point of view of the obtained prediction error was performed.